{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5ca8b947",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "login success!\n",
      "logout success!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<baostock.data.resultset.ResultData at 0x7f57ac3e1100>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime\n",
    "import pandas as pd\n",
    "import baostock as bs\n",
    "import backtrader as bt\n",
    "import matplotlib.pyplot as plt\n",
    "from dateutil.relativedelta import relativedelta\n",
    "\n",
    "#### 登陆baostock系统（数据来源） ####\n",
    "lg = bs.login()\n",
    "#### 获取历史5分钟K线数据 ####\n",
    "# query_history_k_data()\n",
    "rs = bs.query_history_k_data_plus(\"sh.000001\",\n",
    "    \"date,code,open,high,low,close,preclose,volume,amount,pctChg\",\n",
    "    start_date='1991-01-01', end_date='2022-06-20', frequency=\"d\")\n",
    "\n",
    "# 打印结果集\n",
    "data_list = []\n",
    "while (rs.error_code == '0') & rs.next():\n",
    "    # 获取一条记录，将记录合并在一起\n",
    "    data_list.append(rs.get_row_data())\n",
    "result = pd.DataFrame(data_list, columns=rs.fields)\n",
    "result.index=pd.to_datetime(result.date, format='%Y-%m-%d')\n",
    "data1 = result[[\"open\",\"high\",\"low\",\"close\",\"preclose\",\"volume\",\"amount\",\"pctChg\"]].apply(pd.to_numeric)\n",
    "\n",
    "bs.logout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bd4a6a22",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "启动资金：400000.00\n",
      "1992-08-26T00:00:00 亢龙有悔：1\n",
      "1992-08-27T00:00:00 买入价:874.75, 量:1, 持仓:1\n",
      "1992-09-09T00:00:00 卖出价, 635.74, 量:-1, 持仓:0\n",
      "1993-01-20T00:00:00 亢龙有悔：2\n",
      "1993-01-21T00:00:00 买入价:1051.60, 量:1, 持仓:1\n",
      "1993-02-05T00:00:00 卖出价, 1332.96, 量:-1, 持仓:0\n",
      "1993-02-12T00:00:00 亢龙有悔：3\n",
      "1993-02-15T00:00:00 买入价:1544.10, 量:1, 持仓:1\n",
      "1993-02-26T00:00:00 卖出价, 1339.88, 量:-1, 持仓:0\n",
      "1993-04-01T00:00:00 亢龙有悔：4\n",
      "1993-04-02T00:00:00 买入价:953.51, 量:1, 持仓:1\n",
      "1993-04-15T00:00:00 卖出价, 1278.84, 量:-1, 持仓:0\n",
      "1993-05-05T00:00:00 亢龙有悔：5\n",
      "1993-05-06T00:00:00 买入价:1250.39, 量:1, 持仓:1\n",
      "1993-05-19T00:00:00 卖出价, 1147.22, 量:-1, 持仓:0\n",
      "1993-05-28T00:00:00 亢龙有悔：6\n",
      "1993-05-31T00:00:00 买入价:975.05, 量:1, 持仓:1\n",
      "1993-06-11T00:00:00 卖出价, 1047.00, 量:-1, 持仓:0\n",
      "1994-03-22T00:00:00 亢龙有悔：7\n",
      "1994-03-23T00:00:00 买入价:739.38, 量:1, 持仓:1\n",
      "1994-04-05T00:00:00 卖出价, 682.75, 量:-1, 持仓:0\n",
      "1994-06-08T00:00:00 亢龙有悔：8\n",
      "1994-06-09T00:00:00 买入价:534.24, 量:1, 持仓:1\n",
      "1994-06-22T00:00:00 卖出价, 505.18, 量:-1, 持仓:0\n",
      "1994-08-10T00:00:00 亢龙有悔：9\n",
      "1994-08-11T00:00:00 买入价:765.32, 量:1, 持仓:1\n",
      "1994-08-24T00:00:00 卖出价, 705.71, 量:-1, 持仓:0\n",
      "1995-04-12T00:00:00 亢龙有悔：10\n",
      "1995-04-13T00:00:00 买入价:647.21, 量:1, 持仓:1\n",
      "1995-04-26T00:00:00 卖出价, 601.83, 量:-1, 持仓:0\n",
      "1995-05-17T00:00:00 亢龙有悔：11\n",
      "1995-05-18T00:00:00 买入价:741.81, 量:1, 持仓:1\n",
      "1995-05-26T00:00:00 亢龙有悔：12\n",
      "1995-05-29T00:00:00 买入价:719.64, 量:1, 持仓:2\n",
      "1995-05-31T00:00:00 卖出价, 700.51, 量:-1, 持仓:1\n",
      "1995-06-09T00:00:00 卖出价, 702.62, 量:-1, 持仓:0\n",
      "1995-07-27T00:00:00 亢龙有悔：13\n",
      "1995-07-28T00:00:00 买入价:699.85, 量:1, 持仓:1\n",
      "1995-08-10T00:00:00 卖出价, 735.15, 量:-1, 持仓:0\n",
      "1995-09-26T00:00:00 亢龙有悔：14\n",
      "1995-09-27T00:00:00 买入价:727.47, 量:1, 持仓:1\n",
      "1995-10-10T00:00:00 亢龙有悔：15\n",
      "1995-10-11T00:00:00 买入价:705.56, 量:1, 持仓:2\n",
      "1995-10-12T00:00:00 卖出价, 704.40, 量:-1, 持仓:1\n",
      "1995-10-24T00:00:00 卖出价, 723.57, 量:-1, 持仓:0\n",
      "1995-11-14T00:00:00 亢龙有悔：16\n",
      "1995-11-15T00:00:00 买入价:688.50, 量:1, 持仓:1\n",
      "1995-11-28T00:00:00 卖出价, 652.57, 量:-1, 持仓:0\n",
      "1996-01-19T00:00:00 亢龙有悔：17\n",
      "1996-01-22T00:00:00 买入价:520.95, 量:1, 持仓:1\n",
      "1996-02-02T00:00:00 卖出价, 536.04, 量:-1, 持仓:0\n",
      "1996-03-07T00:00:00 亢龙有悔：18\n",
      "1996-03-08T00:00:00 买入价:566.89, 量:1, 持仓:1\n",
      "1996-03-21T00:00:00 卖出价, 569.76, 量:-1, 持仓:0\n",
      "1996-05-22T00:00:00 亢龙有悔：19\n",
      "1996-05-23T00:00:00 买入价:668.70, 量:1, 持仓:1\n",
      "1996-06-05T00:00:00 卖出价, 696.97, 量:-1, 持仓:0\n",
      "1996-06-18T00:00:00 亢龙有悔：20\n",
      "1996-06-19T00:00:00 买入价:801.10, 量:1, 持仓:1\n",
      "1996-07-02T00:00:00 卖出价, 759.71, 量:-1, 持仓:0\n",
      "1996-09-11T00:00:00 亢龙有悔：21\n",
      "1996-09-12T00:00:00 买入价:780.32, 量:1, 持仓:1\n",
      "1996-09-25T00:00:00 卖出价, 835.18, 量:-1, 持仓:0\n",
      "1997-03-21T00:00:00 亢龙有悔：22\n",
      "1997-03-24T00:00:00 买入价:1186.95, 量:1, 持仓:1\n",
      "1997-04-04T00:00:00 卖出价, 1260.96, 量:-1, 持仓:0\n",
      "1997-05-15T00:00:00 亢龙有悔：23\n",
      "1997-05-16T00:00:00 买入价:1309.60, 量:1, 持仓:1\n",
      "1997-05-29T00:00:00 卖出价, 1263.35, 量:-1, 持仓:0\n",
      "1997-08-07T00:00:00 亢龙有悔：24\n",
      "1997-08-08T00:00:00 买入价:1205.95, 量:1, 持仓:1\n",
      "1997-08-21T00:00:00 卖出价, 1164.55, 量:-1, 持仓:0\n",
      "1997-09-30T00:00:00 亢龙有悔：25\n",
      "1997-10-06T00:00:00 买入价:1100.70, 量:1, 持仓:1\n",
      "1997-10-17T00:00:00 卖出价, 1176.49, 量:-1, 持仓:0\n",
      "1997-12-04T00:00:00 亢龙有悔：26\n",
      "1997-12-05T00:00:00 买入价:1139.48, 量:1, 持仓:1\n",
      "1997-12-18T00:00:00 卖出价, 1154.17, 量:-1, 持仓:0\n",
      "1998-03-03T00:00:00 亢龙有悔：27\n",
      "1998-03-04T00:00:00 买入价:1204.95, 量:1, 持仓:1\n",
      "1998-03-17T00:00:00 卖出价, 1202.84, 量:-1, 持仓:0\n",
      "1998-05-08T00:00:00 亢龙有悔：28\n",
      "1998-05-11T00:00:00 买入价:1367.24, 量:1, 持仓:1\n",
      "1998-05-22T00:00:00 卖出价, 1375.82, 量:-1, 持仓:0\n",
      "1998-07-21T00:00:00 亢龙有悔：29\n",
      "1998-07-22T00:00:00 买入价:1312.23, 量:1, 持仓:1\n",
      "1998-08-04T00:00:00 卖出价, 1293.46, 量:-1, 持仓:0\n",
      "1998-10-22T00:00:00 亢龙有悔：30\n",
      "1998-10-23T00:00:00 买入价:1217.13, 量:1, 持仓:1\n",
      "1998-11-05T00:00:00 卖出价, 1253.28, 量:-1, 持仓:0\n",
      "1999-02-02T00:00:00 亢龙有悔：31\n",
      "1999-02-03T00:00:00 买入价:1126.84, 量:1, 持仓:1\n",
      "1999-03-05T00:00:00 卖出价, 1132.36, 量:-1, 持仓:0\n",
      "1999-05-17T00:00:00 亢龙有悔：32\n",
      "1999-05-18T00:00:00 买入价:1066.52, 量:1, 持仓:1\n",
      "1999-05-31T00:00:00 卖出价, 1279.33, 量:-1, 持仓:0\n",
      "1999-12-10T00:00:00 亢龙有悔：33\n",
      "1999-12-13T00:00:00 买入价:1429.19, 量:1, 持仓:1\n",
      "1999-12-27T00:00:00 卖出价, 1345.35, 量:-1, 持仓:0\n",
      "2000-03-02T00:00:00 亢龙有悔：34\n",
      "2000-03-03T00:00:00 买入价:1728.36, 量:1, 持仓:1\n",
      "2000-03-16T00:00:00 卖出价, 1607.53, 量:-1, 持仓:0\n",
      "2000-06-12T00:00:00 亢龙有悔：35\n",
      "2000-06-13T00:00:00 买入价:1918.19, 量:1, 持仓:1\n",
      "2000-06-21T00:00:00 亢龙有悔：36\n",
      "2000-06-22T00:00:00 买入价:1918.16, 量:1, 持仓:2\n",
      "2000-06-26T00:00:00 卖出价, 1948.64, 量:-1, 持仓:1\n",
      "2000-07-04T00:00:00 亢龙有悔：37\n",
      "2000-07-05T00:00:00 卖出价, 1909.19, 量:-1, 持仓:1\n",
      "2000-07-05T00:00:00 买入价:1910.42, 量:1, 持仓:1\n",
      "2000-07-18T00:00:00 卖出价, 1993.99, 量:-1, 持仓:0\n",
      "2000-12-18T00:00:00 亢龙有悔：38\n",
      "2000-12-19T00:00:00 买入价:2047.35, 量:1, 持仓:1\n",
      "2001-01-02T00:00:00 卖出价, 2103.47, 量:-1, 持仓:0\n",
      "2001-01-16T00:00:00 亢龙有悔：39\n",
      "2001-01-17T00:00:00 买入价:2046.38, 量:1, 持仓:1\n",
      "2001-02-13T00:00:00 卖出价, 1963.53, 量:-1, 持仓:0\n",
      "2001-04-05T00:00:00 亢龙有悔：40\n",
      "2001-04-06T00:00:00 买入价:2116.38, 量:1, 持仓:1\n",
      "2001-04-19T00:00:00 卖出价, 2172.87, 量:-1, 持仓:0\n",
      "2001-08-28T00:00:00 亢龙有悔：41\n",
      "2001-08-29T00:00:00 买入价:1846.82, 量:1, 持仓:1\n",
      "2001-09-04T00:00:00 亢龙有悔：42\n",
      "2001-09-05T00:00:00 买入价:1868.36, 量:1, 持仓:2\n",
      "2001-09-10T00:00:00 亢龙有悔：43\n",
      "2001-09-11T00:00:00 卖出价, 1863.78, 量:-1, 持仓:2\n",
      "2001-09-11T00:00:00 买入价:1859.97, 量:1, 持仓:2\n",
      "2001-09-18T00:00:00 卖出价, 1798.62, 量:-1, 持仓:1\n",
      "2001-09-24T00:00:00 卖出价, 1794.96, 量:-1, 持仓:0\n",
      "2001-10-26T00:00:00 亢龙有悔：44\n",
      "2001-10-29T00:00:00 买入价:1678.72, 量:1, 持仓:1\n",
      "2001-11-08T00:00:00 亢龙有悔：45\n",
      "2001-11-09T00:00:00 卖出价, 1630.36, 量:-1, 持仓:1\n",
      "2001-11-09T00:00:00 买入价:1605.08, 量:1, 持仓:1\n",
      "2001-11-22T00:00:00 卖出价, 1715.81, 量:-1, 持仓:0\n",
      "2001-12-21T00:00:00 亢龙有悔：46\n",
      "2001-12-24T00:00:00 买入价:1639.52, 量:1, 持仓:1\n",
      "2002-01-09T00:00:00 卖出价, 1561.35, 量:-1, 持仓:0\n",
      "2002-01-10T00:00:00 亢龙有悔：47\n",
      "2002-01-11T00:00:00 买入价:1574.26, 量:1, 持仓:1\n",
      "2002-01-24T00:00:00 卖出价, 1456.40, 量:-1, 持仓:0\n",
      "2002-04-01T00:00:00 亢龙有悔：48\n",
      "2002-04-02T00:00:00 买入价:1608.52, 量:1, 持仓:1\n",
      "2002-04-15T00:00:00 卖出价, 1649.50, 量:-1, 持仓:0\n",
      "2002-05-17T00:00:00 亢龙有悔：49\n",
      "2002-05-20T00:00:00 买入价:1564.97, 量:1, 持仓:1\n",
      "2002-05-31T00:00:00 卖出价, 1515.73, 量:-1, 持仓:0\n",
      "2003-02-24T00:00:00 亢龙有悔：50\n",
      "2003-02-25T00:00:00 买入价:1481.11, 量:1, 持仓:1\n",
      "2003-03-10T00:00:00 卖出价, 1468.92, 量:-1, 持仓:0\n",
      "2003-05-29T00:00:00 亢龙有悔：51\n",
      "2003-05-30T00:00:00 买入价:1570.92, 量:1, 持仓:1\n",
      "2003-06-12T00:00:00 卖出价, 1562.11, 量:-1, 持仓:0\n",
      "2003-09-30T00:00:00 亢龙有悔：52\n",
      "2003-10-08T00:00:00 买入价:1366.20, 量:1, 持仓:1\n",
      "2003-10-17T00:00:00 亢龙有悔：53\n",
      "2003-10-20T00:00:00 买入价:1369.71, 量:1, 持仓:2\n",
      "2003-10-21T00:00:00 卖出价, 1364.30, 量:-1, 持仓:1\n",
      "2003-10-31T00:00:00 卖出价, 1348.30, 量:-1, 持仓:0\n",
      "2004-03-04T00:00:00 亢龙有悔：54\n",
      "2004-03-05T00:00:00 买入价:1671.06, 量:1, 持仓:1\n",
      "2004-03-18T00:00:00 卖出价, 1717.26, 量:-1, 持仓:0\n",
      "2004-04-22T00:00:00 亢龙有悔：55\n",
      "2004-04-23T00:00:00 买入价:1653.94, 量:1, 持仓:1\n",
      "2004-05-13T00:00:00 卖出价, 1597.57, 量:-1, 持仓:0\n",
      "2004-05-26T00:00:00 亢龙有悔：56\n",
      "2004-05-27T00:00:00 买入价:1524.94, 量:1, 持仓:1\n",
      "2004-06-09T00:00:00 卖出价, 1468.07, 量:-1, 持仓:0\n",
      "2005-01-05T00:00:00 亢龙有悔：57\n",
      "2005-01-06T00:00:00 买入价:1252.49, 量:1, 持仓:1\n",
      "2005-01-18T00:00:00 亢龙有悔：58\n",
      "2005-01-19T00:00:00 卖出价, 1218.11, 量:-1, 持仓:1\n",
      "2005-01-19T00:00:00 买入价:1225.08, 量:1, 持仓:1\n",
      "2005-02-01T00:00:00 卖出价, 1188.93, 量:-1, 持仓:0\n",
      "2005-03-11T00:00:00 亢龙有悔：59\n",
      "2005-03-14T00:00:00 买入价:1288.98, 量:1, 持仓:1\n",
      "2005-03-25T00:00:00 卖出价, 1205.63, 量:-1, 持仓:0\n",
      "2005-03-31T00:00:00 亢龙有悔：60\n",
      "2005-04-01T00:00:00 买入价:1180.37, 量:1, 持仓:1\n",
      "2005-04-14T00:00:00 卖出价, 1234.33, 量:-1, 持仓:0\n",
      "2005-05-10T00:00:00 亢龙有悔：61\n",
      "2005-05-11T00:00:00 买入价:1134.60, 量:1, 持仓:1\n",
      "2005-05-13T00:00:00 亢龙有悔：62\n",
      "2005-05-16T00:00:00 买入价:1105.40, 量:1, 持仓:2\n",
      "2005-05-24T00:00:00 卖出价, 1073.85, 量:-1, 持仓:1\n",
      "2005-05-27T00:00:00 卖出价, 1051.95, 量:-1, 持仓:0\n",
      "2005-11-11T00:00:00 亢龙有悔：63\n",
      "2005-11-14T00:00:00 买入价:1089.56, 量:1, 持仓:1\n",
      "2005-11-25T00:00:00 卖出价, 1114.92, 量:-1, 持仓:0\n",
      "2005-11-30T00:00:00 亢龙有悔：64\n",
      "2005-12-01T00:00:00 买入价:1098.78, 量:1, 持仓:1\n",
      "2005-12-06T00:00:00 亢龙有悔：65\n",
      "2005-12-07T00:00:00 买入价:1087.74, 量:1, 持仓:2\n",
      "2005-12-14T00:00:00 卖出价, 1125.39, 量:-1, 持仓:1\n",
      "2005-12-20T00:00:00 卖出价, 1136.34, 量:-1, 持仓:0\n",
      "2006-01-17T00:00:00 亢龙有悔：66\n",
      "2006-01-18T00:00:00 买入价:1207.53, 量:1, 持仓:1\n",
      "2006-02-09T00:00:00 卖出价, 1269.45, 量:-1, 持仓:0\n",
      "2006-07-14T00:00:00 亢龙有悔：67\n",
      "2006-07-17T00:00:00 买入价:1662.05, 量:1, 持仓:1\n",
      "2006-07-28T00:00:00 卖出价, 1662.03, 量:-1, 持仓:0\n",
      "2007-01-08T00:00:00 亢龙有悔：68\n",
      "2007-01-09T00:00:00 买入价:2711.05, 量:1, 持仓:1\n",
      "2007-01-22T00:00:00 卖出价, 2933.19, 量:-1, 持仓:0\n",
      "2007-06-05T00:00:00 亢龙有悔：69\n",
      "2007-06-06T00:00:00 买入价:3781.38, 量:1, 持仓:1\n",
      "2007-06-19T00:00:00 卖出价, 4269.52, 量:-1, 持仓:0\n",
      "2007-07-06T00:00:00 亢龙有悔：70\n",
      "2007-07-09T00:00:00 买入价:3809.67, 量:1, 持仓:1\n",
      "2007-07-20T00:00:00 卖出价, 4058.85, 量:-1, 持仓:0\n",
      "2007-12-14T00:00:00 亢龙有悔：71\n",
      "2007-12-17T00:00:00 买入价:5007.28, 量:1, 持仓:1\n",
      "2007-12-28T00:00:00 卖出价, 5261.56, 量:-1, 持仓:0\n",
      "2008-03-11T00:00:00 亢龙有悔：72\n",
      "2008-03-12T00:00:00 买入价:4254.67, 量:1, 持仓:1\n",
      "2008-03-25T00:00:00 卖出价, 3629.62, 量:-1, 持仓:0\n",
      "2008-03-28T00:00:00 亢龙有悔：73\n",
      "2008-03-31T00:00:00 买入价:3465.91, 量:1, 持仓:1\n",
      "2008-04-14T00:00:00 卖出价, 3296.67, 量:-1, 持仓:0\n",
      "2008-05-21T00:00:00 亢龙有悔：74\n",
      "2008-05-22T00:00:00 买入价:3493.07, 量:1, 持仓:1\n",
      "2008-06-04T00:00:00 卖出价, 3369.91, 量:-1, 持仓:0\n",
      "2008-09-04T00:00:00 亢龙有悔：75\n",
      "2008-09-05T00:00:00 买入价:2224.53, 量:1, 持仓:1\n",
      "2008-09-19T00:00:00 卖出价, 2075.09, 量:-1, 持仓:0\n",
      "2008-10-28T00:00:00 亢龙有悔：76\n",
      "2008-10-29T00:00:00 买入价:1786.20, 量:1, 持仓:1\n",
      "2008-11-11T00:00:00 卖出价, 1843.61, 量:-1, 持仓:0\n",
      "2009-03-31T00:00:00 亢龙有悔：77\n",
      "2009-04-01T00:00:00 买入价:2380.98, 量:1, 持仓:1\n",
      "2009-04-15T00:00:00 卖出价, 2536.06, 量:-1, 持仓:0\n",
      "2009-04-20T00:00:00 亢龙有悔：78\n",
      "2009-04-21T00:00:00 买入价:2523.26, 量:1, 持仓:1\n",
      "2009-05-05T00:00:00 卖出价, 2567.34, 量:-1, 持仓:0\n",
      "2009-06-15T00:00:00 亢龙有悔：79\n",
      "2009-06-16T00:00:00 买入价:2762.74, 量:1, 持仓:1\n",
      "2009-06-29T00:00:00 卖出价, 2975.31, 量:-1, 持仓:0\n",
      "2010-01-08T00:00:00 亢龙有悔：80\n",
      "2010-01-11T00:00:00 买入价:3301.61, 量:1, 持仓:1\n",
      "2010-01-22T00:00:00 卖出价, 3128.59, 量:-1, 持仓:0\n",
      "2010-07-02T00:00:00 亢龙有悔：81\n",
      "2010-07-05T00:00:00 买入价:2358.76, 量:1, 持仓:1\n",
      "2010-07-16T00:00:00 卖出价, 2424.27, 量:-1, 持仓:0\n",
      "2011-04-29T00:00:00 亢龙有悔：82\n",
      "2011-05-03T00:00:00 买入价:2911.51, 量:1, 持仓:1\n",
      "2011-05-16T00:00:00 卖出价, 2849.07, 量:-1, 持仓:0\n",
      "2011-09-20T00:00:00 亢龙有悔：83\n",
      "2011-09-21T00:00:00 买入价:2450.12, 量:1, 持仓:1\n",
      "2011-10-11T00:00:00 卖出价, 2348.52, 量:-1, 持仓:0\n",
      "2011-12-16T00:00:00 亢龙有悔：84\n",
      "2011-12-19T00:00:00 买入价:2208.07, 量:1, 持仓:1\n",
      "2011-12-30T00:00:00 卖出价, 2199.42, 量:-1, 持仓:0\n",
      "2012-05-28T00:00:00 亢龙有悔：85\n",
      "2012-05-29T00:00:00 买入价:2361.00, 量:1, 持仓:1\n",
      "2012-06-11T00:00:00 卖出价, 2305.86, 量:-1, 持仓:0\n",
      "2012-08-28T00:00:00 亢龙有悔：86\n",
      "2012-08-29T00:00:00 买入价:2066.82, 量:1, 持仓:1\n",
      "2012-09-11T00:00:00 卖出价, 2120.55, 量:-1, 持仓:0\n",
      "2013-07-22T00:00:00 亢龙有悔：87\n",
      "2013-07-23T00:00:00 买入价:2008.95, 量:1, 持仓:1\n",
      "2013-08-05T00:00:00 卖出价, 2050.48, 量:-1, 持仓:0\n",
      "2013-09-27T00:00:00 亢龙有悔：88\n",
      "2013-09-30T00:00:00 买入价:2167.73, 量:1, 持仓:1\n",
      "2013-10-18T00:00:00 卖出价, 2193.78, 量:-1, 持仓:0\n",
      "2013-11-11T00:00:00 亢龙有悔：89\n",
      "2013-11-12T00:00:00 买入价:2110.72, 量:1, 持仓:1\n",
      "2013-11-25T00:00:00 卖出价, 2186.11, 量:-1, 持仓:0\n",
      "2014-01-07T00:00:00 亢龙有悔：90\n",
      "2014-01-08T00:00:00 买入价:2047.26, 量:1, 持仓:1\n",
      "2014-01-21T00:00:00 卖出价, 2008.31, 量:-1, 持仓:0\n",
      "2014-02-26T00:00:00 亢龙有悔：91\n",
      "2014-02-27T00:00:00 买入价:2045.10, 量:1, 持仓:1\n",
      "2014-03-12T00:00:00 卖出价, 1997.69, 量:-1, 持仓:0\n",
      "2014-04-01T00:00:00 亢龙有悔：92\n",
      "2014-04-02T00:00:00 买入价:2049.42, 量:1, 持仓:1\n",
      "2014-04-16T00:00:00 卖出价, 2105.12, 量:-1, 持仓:0\n",
      "2014-06-20T00:00:00 亢龙有悔：93\n",
      "2014-06-23T00:00:00 买入价:2026.23, 量:1, 持仓:1\n",
      "2014-07-04T00:00:00 卖出价, 2059.38, 量:-1, 持仓:0\n",
      "2015-07-16T00:00:00 亢龙有悔：94\n",
      "2015-07-17T00:00:00 买入价:3831.42, 量:1, 持仓:1\n",
      "2015-07-30T00:00:00 卖出价, 3705.77, 量:-1, 持仓:0\n",
      "2016-01-29T00:00:00 亢龙有悔：95\n",
      "2016-02-01T00:00:00 买入价:2730.98, 量:1, 持仓:1\n",
      "2016-02-19T00:00:00 卖出价, 2860.02, 量:-1, 持仓:0\n",
      "2016-06-27T00:00:00 亢龙有悔：96\n",
      "2016-06-28T00:00:00 买入价:2885.01, 量:1, 持仓:1\n",
      "2016-07-11T00:00:00 卖出价, 2994.92, 量:-1, 持仓:0\n",
      "2016-09-27T00:00:00 亢龙有悔：97\n",
      "2016-09-28T00:00:00 买入价:3000.70, 量:1, 持仓:1\n",
      "2016-10-18T00:00:00 卖出价, 3083.88, 量:-1, 持仓:0\n",
      "2017-03-31T00:00:00 亢龙有悔：98\n",
      "2017-04-05T00:00:00 买入价:3235.66, 量:1, 持仓:1\n",
      "2017-04-18T00:00:00 卖出价, 3196.71, 量:-1, 持仓:0\n",
      "2017-08-14T00:00:00 亢龙有悔：99\n",
      "2017-08-15T00:00:00 买入价:3235.23, 量:1, 持仓:1\n",
      "2017-08-28T00:00:00 卖出价, 3362.65, 量:-1, 持仓:0\n",
      "2018-02-12T00:00:00 亢龙有悔：100\n",
      "2018-02-13T00:00:00 买入价:3176.11, 量:1, 持仓:1\n",
      "2018-03-05T00:00:00 卖出价, 3256.93, 量:-1, 持仓:0\n",
      "2018-06-20T00:00:00 亢龙有悔：101\n",
      "2018-06-21T00:00:00 买入价:2912.00, 量:1, 持仓:1\n",
      "2018-07-04T00:00:00 卖出价, 2759.13, 量:-1, 持仓:0\n",
      "2018-09-18T00:00:00 亢龙有悔：102\n",
      "2018-09-19T00:00:00 买入价:2694.80, 量:1, 持仓:1\n",
      "2018-10-10T00:00:00 卖出价, 2725.84, 量:-1, 持仓:0\n",
      "2018-10-19T00:00:00 亢龙有悔：103\n",
      "2018-10-22T00:00:00 买入价:2565.64, 量:1, 持仓:1\n",
      "2018-10-30T00:00:00 亢龙有悔：104\n",
      "2018-10-31T00:00:00 买入价:2573.01, 量:1, 持仓:2\n",
      "2018-11-02T00:00:00 卖出价, 2676.48, 量:-1, 持仓:1\n",
      "2018-11-13T00:00:00 卖出价, 2654.88, 量:-1, 持仓:0\n",
      "2020-12-10T00:00:00 亢龙有悔：105\n",
      "2020-12-11T00:00:00 买入价:3381.01, 量:1, 持仓:1\n",
      "2020-12-24T00:00:00 卖出价, 3363.11, 量:-1, 持仓:0\n",
      "2021-01-12T00:00:00 亢龙有悔：106\n",
      "2021-01-13T00:00:00 买入价:3613.28, 量:1, 持仓:1\n",
      "2021-01-26T00:00:00 卖出价, 3569.43, 量:-1, 持仓:0\n",
      "2021-07-05T00:00:00 亢龙有悔：107\n",
      "2021-07-06T00:00:00 买入价:3533.13, 量:1, 持仓:1\n",
      "2021-07-19T00:00:00 卖出价, 3539.12, 量:-1, 持仓:0\n",
      "2021-09-28T00:00:00 亢龙有悔：108\n",
      "2021-09-29T00:00:00 买入价:3573.52, 量:1, 持仓:1\n",
      "2021-10-13T00:00:00 亢龙有悔：109\n",
      "2021-10-14T00:00:00 买入价:3555.11, 量:1, 持仓:2\n",
      "2021-10-19T00:00:00 卖出价, 3593.15, 量:-1, 持仓:1\n",
      "2021-10-27T00:00:00 卖出价, 3562.31, 量:-1, 持仓:0\n",
      "2022-02-15T00:00:00 亢龙有悔：110\n",
      "2022-02-16T00:00:00 买入价:3457.07, 量:1, 持仓:1\n",
      "2022-03-01T00:00:00 卖出价, 3488.83, 量:-1, 持仓:0\n",
      "期末资金：400264.75\n"
     ]
    },
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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "class PandasDataPctchg(bt.feeds.PandasData):\n",
    "    lines = ('pctChg',)\n",
    "    params = (('pctChg', -1), )\n",
    "\n",
    "\n",
    "class StrategyClass(bt.Strategy):\n",
    "    params = dict(\n",
    "        bigvsmall=1.6,  # 大阴线长度不小于小阴线的1.6倍\n",
    "        redr0=2,        # 小阳线的长度不小于小阴线的1/2\n",
    "        mindiff=0.002,  # 柱体最小涨跌幅，剔除十字星 (0.002表示0.2个百分点)\n",
    "    )\n",
    "    def log(self, txt, dt=None):\n",
    "        dt = dt or self.data.datetime.datetime()\n",
    "        print(\"%s %s\" % (dt.isoformat(), txt))\n",
    "\n",
    "    def __init__(self):\n",
    "        self.orders = []\n",
    "        self.times = 0\n",
    "        self.diff = self.data.close - self.data.open\n",
    "        \n",
    "    def notify_order(self, order):\n",
    "        if order.status in [bt.Order.Submitted, bt.Order.Accepted]:\n",
    "            return  # Await further notifications\n",
    "\n",
    "        if order.status == order.Completed:\n",
    "            if order.isbuy():\n",
    "                buytxt = '买入价:%.2f, 量:%s, 持仓:%s' % (order.executed.price, order.executed.size, self.position.size)\n",
    "                self.log(buytxt, bt.num2date(order.executed.dt))\n",
    "            else:\n",
    "                selltxt = '卖出价, %.2f, 量:%s, 持仓:%s' % (\n",
    "                    order.executed.price, order.executed.size, self.position.size)\n",
    "                self.log(selltxt, bt.num2date(order.executed.dt))\n",
    "        elif order.status in [order.Expired, order.Canceled, order.Margin]:\n",
    "            if 'log' not in order.info:\n",
    "                self.log('%s , %s' % (order.Status[order.status], order))\n",
    "            pass  # Simply log\n",
    "\n",
    "\n",
    "    def next(self):\n",
    "        if self.orders:\n",
    "            for i in self.orders:\n",
    "                if i[1] == len(self):\n",
    "                    self.sell(exectype=bt.Order.Close)\n",
    "                    self.orders.remove(i)\n",
    "                    \n",
    "        if (len(self)>3 \n",
    "            and self.diff[0] > 0 and self.diff[-2] < 0                        # 阳柱、阴柱\n",
    "            and self.diff[-2]*self.p.bigvsmall > self.diff[-1]                # 大阴柱要够长\n",
    "            and (self.diff[0] + self.diff[-2])*self.p.redr0 > self.diff[-2]   # 小阳柱也别太短\n",
    "            and self.data.open[0] < self.data.close[-1]                       # 小阳线低开\n",
    "            and self.data.close[0] > self.data.close[-1]                      # 小阳线高收\n",
    "            and self.diff[0] / self.data.close[0] > self.p.mindiff            # 小阳线涨幅大于最小值\n",
    "            and self.diff[-2] / self.data.close[-2] < -self.p.mindiff        # 小阴柱跌幅大于最小值\n",
    "            and self.data.open[-2] > self.data.open[-1]                      # 小阴柱再大阴线之上\n",
    "           ):\n",
    "            self.times += 1\n",
    "            self.log(\"亢龙有悔：%s\" % self.times)\n",
    "            self.orders.append((self.buy(), len(self)+9))\n",
    "\n",
    "        \n",
    "cerebro = bt.Cerebro()\n",
    "# 设置启动资金\n",
    "cerebro.broker.setcash(400000.0)\n",
    "# 设置佣金\n",
    "cerebro.broker.setcommission(commission=0.001)\n",
    "\n",
    "cerebro.addstrategy(StrategyClass)\n",
    "\n",
    "dataframe = data1\n",
    "data = PandasDataPctchg(dataname=dataframe)\n",
    "cerebro.adddata(data)\n",
    "\n",
    "print('启动资金：%.2f' % cerebro.broker.getvalue())\n",
    "cerebro.run(runonce=False, plot=False)\n",
    "print('期末资金：%.2f' % cerebro.broker.getvalue())\n",
    "cerebro.plot(volume=False)[0][0].set_size_inches(9.6,7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "696dffb7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
